Literature DB >> 9272932

Laser monitoring of chest wall displacement.

T Kondo1, T Uhlig, P Pemberton, P D Sly.   

Abstract

We developed a prototype laser monitor, consisting of a single laser sensor, to observe chest wall displacement during respiration. With this monitor, respiratory waveforms are expressed as an anterioposterior motion of the chest wall. The purpose of this study was to examine the characteristics and performance of this prototype. Performance was assessed: 1) under static conditions; 2) using a lung model ventilated in both conventional and high frequency oscillation (HFOV) modes; and 3) during spontaneous breathing in normal adults. In vitro, the monitor performed well both under static conditions and during mechanical ventilation. Reliable "respiratory" wave forms, with no frequency-dependent change in the relationship between displacement and volume, were produced during both conventional ventilation and HFOV at 15 Hz. In vivo, abdominal displacement, measured in the midline, was linearly correlated with the tidal volume signal integrated from flow. The waveforms produced by the monitor were adequate for monitoring respiration and for calculating respiratory timing variables. While a single laser sensor is unlikely to be sufficient for monitoring respiration in spontaneously breathing subjects, the performance of the prototype monitor was sufficiently impressive to encourage further development and further study of this type of truly noninvasive respiratory monitor.

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Year:  1997        PMID: 9272932     DOI: 10.1183/09031936.97.10081865

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  10 in total

Review 1.  Advancements in Methods and Camera-Based Sensors for the Quantification of Respiration.

Authors:  Haythem Rehouma; Rita Noumeir; Sandrine Essouri; Philippe Jouvet
Journal:  Sensors (Basel)       Date:  2020-12-17       Impact factor: 3.576

2.  Monitoring and Analysis of Respiratory Patterns Using Microwave Doppler Radar.

Authors:  Yee Siong Lee; Pubudu N Pathirana; Christopher Louis Steinfort; Terry Caelli
Journal:  IEEE J Transl Eng Health Med       Date:  2014-10-31       Impact factor: 3.316

3.  Non-contact respiration monitoring for in-vivo murine micro computed tomography: characterization and imaging applications.

Authors:  Laurel M Burk; Yueh Z Lee; J Matthew Wait; Jianping Lu; Otto Z Zhou
Journal:  Phys Med Biol       Date:  2012-09-05       Impact factor: 3.609

4.  Use of carbon nanotube sensor for detecting postoperative abnormal respiratory waveforms.

Authors:  Masashi Kobayashi; Yohei Wada; Yasuro Okumiya; Koji Yataka; Katsunori Suzuki; Yasuhiro Nakashima; Hironori Ishibashi; Kenichi Okubo
Journal:  J Thorac Dis       Date:  2021-05       Impact factor: 2.895

5.  Skin-mountable stretch sensor for wearable health monitoring.

Authors:  Jonathan D Pegan; Jasmine Zhang; Michael Chu; Thao Nguyen; Sun-Jun Park; Akshay Paul; Joshua Kim; Mark Bachman; Michelle Khine
Journal:  Nanoscale       Date:  2016-10-06       Impact factor: 8.307

6.  Contact-free Measurement of Heart Rate Variability via a Microwave Sensor.

Authors:  Guohua Lu; Fang Yang; Yue Tian; Xijing Jing; Jianqi Wang
Journal:  Sensors (Basel)       Date:  2009-11-30       Impact factor: 3.576

Review 7.  An Overview of Signal Processing Techniques for Remote Health Monitoring Using Impulse Radio UWB Transceiver.

Authors:  Faheem Khan; Asim Ghaffar; Naeem Khan; Sung Ho Cho
Journal:  Sensors (Basel)       Date:  2020-04-27       Impact factor: 3.576

8.  INTRA- AND INTER-RATER RELIABILITY OF A BIOPHOTOGRAMMETRIC ASSESSMENT PROTOCOL FOR PRETERM INFANTS.

Authors:  Juliana Vieira Campos; Mariana Alves Moreno; Ricardo de Bastos Silva; Jessica Neves Quirino da Silva; Milena Ferreira de Carvalho; Rayssa Christina Abreu Dos Santos; Rodrigo Tosta Peres; Rosana da Silva Santos; Halina Cidrini Ferreira
Journal:  Rev Paul Pediatr       Date:  2020-12-07

9.  Noncontact Sleeping Heartrate Monitoring Method Using Continuous-Wave Doppler Radar Based on the Difference Quadratic Sum Demodulation and Search Algorithm.

Authors:  Xiao Chen; Xuxiang Ni
Journal:  Sensors (Basel)       Date:  2022-10-09       Impact factor: 3.847

10.  Techniques for clutter suppression in the presence of body movements during the detection of respiratory activity through UWB radars.

Authors:  Antonio Lazaro; David Girbau; Ramon Villarino
Journal:  Sensors (Basel)       Date:  2014-02-07       Impact factor: 3.576

  10 in total

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